model-tuning

There are 1 repository under model-tuning topic.

sjevelazco / flexsdm
Useful tools for constructing species distribution models
ecological-niche-modelling model-tuning spatial-ecology ensemble-modelling model-fit-for-purpose spatially-structured-validation species-distribution-modelling
Language:R 52
PacktWorkshops / The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
machine-learning keras artificial-neural-networks magnetic-resonance-imaging logistic-regression decision-trees scikit-learn k-means-clustering hyperparameter-tuning model-evaluation tensorflow classification regression support-vector-machine model-tuning regularization cross-validation linear-transformation scalars vectors
Language:Jupyter Notebook 51
oskar-j / awesome-auto-ml
Awesome list of AutoML frameworks - curated by @oskar-j
awesome-list automl feature-engineering model-tuning hyperparameter-tuning machine-learning
30
LastAncientOne / Data-Science
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
algorithms data-analysis data-science data-visualization datascience deep-learning dimensionality-reduction excel exploratory-data-analysis exploratory-data-visualizations feature-engineering inferential-statistics kaggle kaggle-competiton machine-learning model-tuning powerbi prediction python3 r
Language:Jupyter Notebook 29
medoidai / skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
artificial-intelligence data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-evaluation model-selection model-training model-tuning modelling predictive-modelling python scikit-learn
Language:Python 23
ansegura7 / RS_Surprise
Project with examples of different recommender systems created with the Surprise framework. Different algorithms (with a collaborative filtering approach) are explored, such as KNN or SVD.
recommender-system python surprise svd knn model-tuning
Language:HTML 9
miraytopal / Marketing-Campaign-Machine-Learning
A Predictive Model for Marketing Campaigns
classification-model dataexploration feature-engineering machine-learning matplotlib model-tuning modeling pandas seaborn tuning-parameters
Language:Jupyter Notebook 8
tohid-yousefi / Predicting_the_Energy_Efficiency_of_Buildings
In this section, predicting the energy efficiency of buildings with machine learning algorithms.
energy-consumption energy-prediction machine-learning-algorithms mla model-tuning predictive-modeling regression regression-analysis
Language:Jupyter Notebook 7
paocarvajal1912 / Venture_Funding_with_Deep_Learning
TensorFlow and Keras are used for the construction and evaluation of Deep Learning models to predict success of companies that receive funding from a venture capital fund.
deep-learning jupyter-notebook keras machine-learning model-tuning neural-network python tensorflow
Language:Jupyter Notebook 6
ansegura7 / RS_CF_LastFm
Recommender systems with collaborative filtering created with Apache Mahout framework. The system uses a Music Recommendation dataset for research purposes as input, but you can train it and predict recommendations with any other dataset.
java knn mahout model-tuning recommender-system
Language:Java 5
evolly
RevisorTeam / evolly
Evolutionary Neural Architecture Search framework that improves performance of your DL models
genetic-algorithm neural-architecture-search neuroevolution model-training model-tuning
Language:Python 5
ibodumas / fitting_tuning
Over-fitting and model tuning
predictive-modeling over-fitting model-tuning applied-predictive-modeling max-kuhn-kjell-johnson over-fitting-and-model-tuning over-fitting-model-tuning
2
yakupkaplan / Diabetes-Prediction-Model
In this project we will try to predict if the person has diabetes has or not.
classification exploratory-data-analysis datavisualization datapreprocessing feature-engineering classification-algorithims model-tuning pickle diabetes-prediction-model
Language:Python 2
akshataupadhye / Predictive-model-using-physicochemical-attributes
A project featuring use of statistical techniques for exploratory data analysis and data mining techniques for predicting the quality of wine. 🍷🍸🍹
machine-learning random-forest classification svm-classifier decision-tree knn-classifier adaboostclassifier logistic-regression gridsearchcv exploratory-data-analysis model-tuning
Language:Jupyter Notebook 1
ArtZaragozaGitHub / NN--P4_Predicting_Customers_Likely_to_Abandon_Bank_Services
Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers
eda keras-classification-models matplotlib-library nn numpy-library pandas-library regularization-methods seaborn-library tensorflow adam-optimizer batch-normalization model-optimization model-training model-tuning normalization-techniques regularization-dropout sgd-optimizer
Language:Jupyter Notebook 1
divyansh-sharma / UdacityMLNanodegree
This Repository contains the projects which are part of Udacity Machine Learning Nanodegree
reinforcement-learning q-learning optimization model-tuning statistical-analysis scikit-learn machine-learning clustering pca-analysis deep-learning vcg keras-tensorflow
Language:HTML 1
gouravaich / finding-donors-for-charity
Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause
udacity udacity-nanodegree udacity-machine-learning-nanodegree machine-learning machine-learning-algorithms supervised-learning finding-donors naive-predictor precision-recall gaussian-naive-bayes-implementation decision-tree-algorithm ensemble adaboost boosting model-tuning grid-search feature-importance feature-selection
Language:Jupyter Notebook 1
Honey28Git / Machine-Learning
The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.
accuracy-metrics auc-score bagging boosting confusion-matrix eda knn linear-discriminant-analysis logistic-regression model-tuning naive-bayes-classifier nltk-python roc-curve text-analysis
Language:Jupyter Notebook 1
tt-ml-dl
hooshvare / tt-ml-dl
پخش زنده پیرامون برخی اصطلاحات و مشکلات در یادگیری ماشین و یادگیری عمیق
deep-learning hooshvare machine-learning model-tuning underfitting-overfitting
1
lovpatel93 / Udacity-Finding_Donors_for_Charity_ML
Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income
supervised-learning-algorithms data-exploration data-visualization normalization log-transformation evaluation-metrics naive-predictor decison-trees ensemble-models adaboost svm-classifier svc-svm confusion-matrix model-tuning gridsearchcv feature-importance feature-selection
Language:Jupyter Notebook 1
senihberkay / US-Army-ANSUR-II
The data from this survey are used for a wide range of equipment design, sizing, and tariffing applications within the military and have many potential commercial, industrial, and academic applications.
data-preprocessing data-science data-visualization exploratory-data-analysis machine-learning model-building model-tuning
Language:Jupyter Notebook 1
shejz / AI-for-Medicine
Applying AI to medical use cases: Diagnoses of lung and brain disorders, Building risk models and survival estimators for heart disease via RF, and Using NLP to extract information from radiology reports.
image-segmentation multi-class-classification natural-language-extraction model-tuning random-forest treatment-effect-estimation
Language:Jupyter Notebook 1
snehavijayan175 / Great-Learning-Academic-Projects
18 Projects in AI & ML
computer-vision cross-validation ensemble-techniques feature-engineering hyperparameter-tuning model-tuning natural-language-processing neural-networks supervised-machine-learning unsupervised-machine-learning recommender-system
Language:Jupyter Notebook 1
threnjen / austin_housing_prices
Austin Housing Price Predictions is a start-to-finish regression project which includes image processing, NLP, Neural Networks, transfer learning, and model ensembling.
regression-models nlp nlp-machine-learning neural-networks convolutional-neural-networks data-visualization model-tuning machine-learning transfer-learning lstm-neural-networks
Language:Jupyter Notebook 1
Yahya-Ashraf-Mohamed / Finding-Donors-ML
Predicting potential donors using various machine learning models for Charity
data-analysis ensamble-methods machine-learning model-tuning python sklearn
Language:Jupyter Notebook 1
jmarihawkins / Disease_Prediction_App
The Disease Prediction Project uses AI/ML to predict diseases based on selected symptoms, designed for low-resource communities. It delivers fast, accurate predictions using a MLP model, offering tailored, efficient diagnostics for areas with limited healthcare access.
artificial-intelligence data-science data-visualization eda end-to-end feature-engineering healthcare hyperparameter-tuning keras keras-tensorflow machine-learning mlp model-training-and-evaluation model-tuning model-validation neural-networks streamlit tensorflow
Language:Jupyter Notebook 0
ppriyanshu1404 / India-s-Ex-Showroom-Price-Prediction
I have developed a GitHub project on ex-showroom car price prediction. The project includes data cleaning, data modeling, and data selection for accurate predictions. It also involves feature selection, model evaluation, testing, and comparison to determine the most effective model.
data-cleaning data-modeling data-visualization feature-engineering feature-extraction feature-selection matplotlib model-building model-training model-tuning seaborn
0
RunnyWater / AI-chat-bot
A website with an AI model fine-tuned for the specific requirements provided by the University, allowing users to ask questions on various topics and receive quick responses.
ai model-tuning nlp
Language:JavaScript 0
shibasishb2 / Feature-Engineering-Model-Tuning
The project was accomplished by employing supervised learning, ensemble modeling, and unsupervised learning techniques to build and train a prediction model to identify Pass/Fail yield of a particular process entity for a semiconductor manufacturing company.
feature-engineering grid-search model-tuning pca python supervised-learning
Language:Jupyter Notebook 0
shinegirlleela / EmailSpam
The goal of this project is to build a machine learning model that automatically classifies emails as spam (unwanted) or ham (legitimate). The model will be trained on a labeled dataset and use features extracted from the email content to predict whether an email is spam or not.
data-collection deployment feature-extraction model-evaluation model-training model-tuning preprocessing
Language:Python 0
Yaswanth1702 / Salary-Prediction-in-the-AI-Job-Market
feature-engineering linear-regression model-interpretation model-tuning non-linear-regression
Language:R 0
dynamicanupam / Hand_Gesture_Recognition_using_CNN-RNN
Build deep learning model for detecting hand gestures for Smart TVs using CNN and RNN
cnn-rnn generator-functions model-building-and-training model-evaluation model-tuning 3d-convs
Language:Jupyter Notebook
gowri-malla216 / Empowering-ML-Algorithms
Jupyter notebooks exploring various model enhancement techniques for XGBoost, Decision Trees, and Random Forest Regressors.
feature-engineering machine-learning model-tuning python3 hyperparameter-tuning
Language:Jupyter Notebook
mlatinov / Heart-Failure-Prediction
Heart Failure Mortality Prediction with R & Tidymodels Using R and Tidymodels, this project predicts heart failure mortality with models like Logistic Regression, Random Forest, GBMs, and SVM, identifying key risk factors for better clinical decisions
feature-engineering healthcare knn-classifier machine-learning model-tuning r-language random-forest-classifier svm-classifier tidymodels
Language:R
nerudesu / diabetes-prediction
Comprehensive implementation of an Applied Machine Learning model for Diabetes Prediction. The project aims to leverage machine learning techniques to predict the likelihood of an individual developing diabetes based on various health and lifestyle factors.
adaboost diabetes-prediction knn model-tuning random-forest
Language:Jupyter Notebook
srhn45 / iterative-hyperparameter-search
Basic iterative hyperparameter search algorithm for custom models and training loops.
data-science deep-learning grid-search hyperparameter-optimization machine-learning model-tuning optimization python tensorflow
Language:Python

model-tuning

sjevelazco / flexsdm

PacktWorkshops / The-Deep-Learning-with-Keras-Workshop

oskar-j / awesome-auto-ml

LastAncientOne / Data-Science

medoidai / skrobot

ansegura7 / RS_Surprise

miraytopal / Marketing-Campaign-Machine-Learning

tohid-yousefi / Predicting_the_Energy_Efficiency_of_Buildings

paocarvajal1912 / Venture_Funding_with_Deep_Learning

ansegura7 / RS_CF_LastFm

RevisorTeam / evolly

ibodumas / fitting_tuning

yakupkaplan / Diabetes-Prediction-Model

akshataupadhye / Predictive-model-using-physicochemical-attributes

ArtZaragozaGitHub / NN--P4_Predicting_Customers_Likely_to_Abandon_Bank_Services

divyansh-sharma / UdacityMLNanodegree

gouravaich / finding-donors-for-charity

Honey28Git / Machine-Learning

hooshvare / tt-ml-dl

lovpatel93 / Udacity-Finding_Donors_for_Charity_ML

senihberkay / US-Army-ANSUR-II

shejz / AI-for-Medicine

snehavijayan175 / Great-Learning-Academic-Projects

threnjen / austin_housing_prices

Yahya-Ashraf-Mohamed / Finding-Donors-ML

jmarihawkins / Disease_Prediction_App

ppriyanshu1404 / India-s-Ex-Showroom-Price-Prediction

RunnyWater / AI-chat-bot

shibasishb2 / Feature-Engineering-Model-Tuning

shinegirlleela / EmailSpam

Yaswanth1702 / Salary-Prediction-in-the-AI-Job-Market

dynamicanupam / Hand_Gesture_Recognition_using_CNN-RNN

gowri-malla216 / Empowering-ML-Algorithms

mlatinov / Heart-Failure-Prediction

nerudesu / diabetes-prediction

srhn45 / iterative-hyperparameter-search